论文标题
基于GABECE GAMBIAN数据的有监督的混合统计追赶系统
A Supervised Hybrid Statistical Catch-up System Built on Gabece Gambian Data
论文作者
论文摘要
在本文中，我们希望找到一项统计规则，该规则将在国家考试中至少三个考试中至少三个考试中至少三个考试的学生分配了及格或失败的成绩，而不是完全解雇他们的学生。虽然将他们宣布为失败是残酷的，尤其是如果他们缺席的原因不是故意的，但他们应该在参加的三项考试中表现出足够的优点，以便有机会被宣布通过。我们根据平均成绩和最模式等级使用特殊的分类方法和最近的邻居方法，以在监督学习过程中构建统计规则。这项研究建立在国家盖贝斯教育数据上，该数据涵盖了七年和冈比亚的所有六个地区。
In this paper we want to find a statistical rule that assigns a passing or failing grade to students who undertook at least three exams out of four in a national exam, instead of completely dismissing them students. While it is cruel to declare them as failing, especially if the reason for their absence it not intentional, they should have demonstrated enough merit in the three exams taken to deserve a chance to be declared passing. We use a special classification method and nearest neighbors methods based on the average grade and on the most modal grade to build a statistical rule in a supervised learning process. The study is built on the national GABECE educational data which is a considerable data covering seven years and all the six regions of the Gambia.
